



from math import ceil

def  lowerCamelCase_(lowerCamelCase_ = 1_001     )			->							Optional[Any]:
						UpperCAmelCase								=  1

						for i in range(1     , int(ceil(n / 2.0     )     )     ):
												UpperCAmelCase								=  2 * i + 1
												UpperCAmelCase								=  2 * i
												UpperCAmelCase								=  total + 4 * odd**2 - 6 * even

						return total


if __name__ == "__main__":
		import sys

		if len(sys.argv) == 1:
				print(solution())
		else:
				try:
						__lowerCamelCase  :				str					=					int(sys.argv[1])
						print(solution(n))
				except ValueError:
						print("Invalid entry - please enter a number")







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_torch_available


_SCREAMING_SNAKE_CASE     :					Optional[int]      =       {"configuration_speech_encoder_decoder": ["SpeechEncoderDecoderConfig"]}

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _SCREAMING_SNAKE_CASE     :					Optional[int]      =       ["SpeechEncoderDecoderModel"]

try:
 if not is_flax_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 _SCREAMING_SNAKE_CASE     :					Dict      =       ["FlaxSpeechEncoderDecoderModel"]

if TYPE_CHECKING:
 from .configuration_speech_encoder_decoder import SpeechEncoderDecoderConfig

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_speech_encoder_decoder import SpeechEncoderDecoderModel

 try:
  if not is_flax_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_flax_speech_encoder_decoder import FlaxSpeechEncoderDecoderModel

else:
 import sys

 _SCREAMING_SNAKE_CASE     :					List[Any]      =       _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)




